Whisper Paper Explained: Robust Speech Recognition via Large-Scale Weak Supervision

Aladdin Persson · Beginner ·📐 ML Fundamentals ·3y ago
❤️ Support the channel ❤️ https://www.youtube.com/channel/UCkzW5JSFwvKRjXABI-UTAkQ/join In this video we walk through the paper Robust Speech Recognition via Large-Scale Weak Supervision, or known as Whisper. The paper brought state of the art results in speech recognition with open source code and weights. You can take a look at the official GitHub repository: https://github.com/openai/whisper. Let me know if a walkthrough on how to use Whisper would be interesting, although there are many other videos on this. Paid Courses I recommend for learning (affiliate links, no extra cost for you): …
Watch on YouTube ↗ (saves to browser)

Chapters (11)

Introduction
1:27 Abstract
2:30 Introduction
8:02 Dataset collection and processing
10:29 Model approach
15:25 Figure of model
20:25 Experiments and Evaluation
26:17 Long form transcription, messy :/
28:36 Model and Dataset scaling
31:25 Long form transcription (cont), messy :/
32:32 Ending

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